Overview
- Shows how a data-led approach can produce rich analyses of characters
- Uses the Marvel Comics character Doctor Doom as its main case study
- Analyses the differences between the American and British characters who share the name "Dennis The Menace"
Part of the book series: Palgrave Studies in Comics and Graphic Novels (PSCGN)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book defines a straightforward way to analyse fictional characters through data. It shows how a data-led approach can produce rich analyses of characters, their surrounding storyworlds, and their authors across time and different types of media. It uses the Marvel Comics’ character, Doctor Doom as its main case study, and demonstrates the advantages of this approach by comparing the results to those taken from a survey of fan attitudes. It also uses the methodology to analyse the differences between the American and British characters who share the name "Dennis The Menace". Finally, it offers a range of further uses for the tool. All datasets and tools are made available to download, so that other researchers can use the methodology and compare their own results to those generated in the book.
Authors and Affiliations
About the author
Mark Hibbett is head of research information systems at University of the Arts London, UK. He has spent thirty years working with research data in arts and science contexts and his current research focuses on transmedia character cohesion, particularly related to superheroes and children's humour comics.
Bibliographic Information
Book Title: Data and Doctor Doom
Book Subtitle: An Empirical Approach To Transmedia Characters
Authors: Mark Hibbett
Series Title: Palgrave Studies in Comics and Graphic Novels
DOI: https://doi.org/10.1007/978-3-031-45173-7
Publisher: Palgrave Macmillan Cham
eBook Packages: Literature, Cultural and Media Studies, Literature, Cultural and Media Studies (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-45172-0Published: 02 February 2024
Softcover ISBN: 978-3-031-45175-1Due: 04 March 2024
eBook ISBN: 978-3-031-45173-7Published: 01 February 2024
Series ISSN: 2634-6370
Series E-ISSN: 2634-6389
Edition Number: 1
Number of Pages: XVI, 302
Number of Illustrations: 20 b/w illustrations, 45 illustrations in colour
Topics: Comics Studies, Popular Culture